Capability

GeoAI & Earth Observation

Satellite and aerial data combined with spatial analytics and machine-learning methods.

The scope may include change detection, classification, anomaly identification and integration of outputs with GIS, UAV and field data.

Visualisation of spatial data used in GeoAI analysis

Earth Observation

Sentinel-1/2, optical and radar data, multispectral imagery and GIS reference data.

GeoAI

Classification, object and change detection, and anomaly identification using ML/DL methods.

Validation & integration

Combining EO outputs with UAV, GNSS, field and other spatial datasets.

GeoProcessIT project · ESA Kick-start · Prime Contractor

GeoAI_Watloss

The project assessed the use of Sentinel products and GeoAI for detecting events associated with water-network leakage.

The work included Sentinel-1 and Sentinel-2, DTM/SRTM information and validation against UAV RGB, multispectral and laser-scanning data.

Applications

GeoAI as part of an analytical workflow

Analysis outputs should be verifiable, GIS-ready and useful in a downstream technical or decision-making workflow.

change detectionclassificationenvironmental monitoringanomaly detectionfeature extractiondecision supportmultisource analysis

Contact

Discuss your project

A short description of the task and the data is enough for an initial scope assessment.

Contact GeoProcessIT